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Berkeley DeepDrive

California PATH is proud of the strong academia-industry alliance that has been established under the Berkeley DeepDrive (BDD) Consortium. This research alliance investigates state-of-the-art technologies in computer vision and machine learning and their applications in robotics and autonomous driving. Professor Trevor Darrell, Faculty Director of PATH, leads the BDD center with co-directors Professor Kurt Keutzer and Dr. Ching-Yao Chan.

Visit BDD’s website to learn more about the Consortium’s work, partners, and researchers.

The multi-disciplinary Center brings faculty, researchers, and students together from the Electrical Engineering and Computer Science (EECS) Department, Center for Information Technology Research in the Interest of Society (CITRIS), and the Berkeley Artificial Intelligence Research (BAIR) Lab, as well as California PATH and Institute of Transportation Studies and other departments on campus, to explore the forefront of AI and seek synergistic collaboration between the UC Berkeley community and the industrial partners.

The BDD Center is guiding the next generation of research on intelligent autonomy through the integration of state-of-the-art technologies in computer vision and deep learning and application to autonomous vehicles and robotics. The Center’s work comprises fundamental research, embedded/hardened implementation, and real-world use cases, and focuses on several key research themes, including:

  • Machine learning and AI methodologies

  • Computer vision and image processing 

  • Low power and embedded deep learning algorithms

  • Extensive and annotated database (see BDD100K: bdd-data.berkeley.edu) of real-world driving

  • Object detection, tracking, prediction and scene perception

  • Classical and machine learning-based control of dynamic systems

  • Robotics and Autonomous Driving applications

Developments of machine learning and AI technologies continue at an amazing pace and have led to tremendous breakthroughs in fundamental theories and applied techniques. While the current collaborational partners of BDD are mostly involved in the field of robotics and autonomous vehicles, the fundamental and applied AI research being developed and explored at BDD can potentially be adopted for a broad range of various domains.  We look forward to the continuing success of collaborative research with our global partners.